[rasmi]

Not to indulge the troll, but Arvind Narayanan is an (associate) professor of CS at Princeton and is one of the foremost researchers in the field on topics of ML/data privacy and ethics [0]. His papers/talks/tweets regularly attract attention on HN [1]. That you're judging the talk based on which conferences the author hasn't published in says more about your ignorance of the STS field than it does about the author's knowledge of the topic. This is top-notch content!

[0] https://scholar.google.com/citations?hl=en&user=0Bi5CMgAAAAJ...

[1] https://hn.algolia.com/?q=random_walker

[dmix]

It seems his main research focus is poking holes in popular tech, especially when he is the main author.

[tyri_kai_psomi]

There are a lot of holes to poke, and not enough pokers.

[rasmi]

Congratulations on your success! I'm actually familiar with the author's past talks and research, and am not just assuming he's competent because he lists his affiliation with Princeton.

I encourage you to familiarize yourself with the field of socio-technical systems. It is related to (but not the same as) "ML/DL", and it is important to know about if you are doing research in CS. A good place to start is the FAT* conference [0] (which was previously a workshop at NeurIPS).

Regarding manual scoring: The author cites this study [1] and specifically says: "This is a falsifiable claim. Of course, I’m willing to change my mind or add appropriate caveats to the claim if contrary evidence comes to light. But given the evidence so far, this seems the most prudent view." so by all means, do reach out to him with better evidence.

[0]: https://fatconference.org/2019/program.html

[1]: https://arxiv.org/abs/1702.04690

[hcarvalhoalves]

You seem to be knowledgeable on the matter then. Why hide behind a throw-away account and the ad hominem against the author though? You could articulate better your perspective, we would appreciate. (I hope you're doing okay)